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- research-articleDecember 2022
Study on Feeding decision Model of Cynoglossus semilaevis based on BP neural network
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 713–717https://doi.org/10.1145/3569966.3571270The feeding decision model can reveal feeding rules, which is of great significance for accurate feeding. This paper analyzes the breeding management information of Cynoglossus semilaevis and adopts BP neural network algorithm to build a feeding ...
- research-articleDecember 2022
Garbage image classification method based on improved convolution neural network and long short-term memory network
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 657–663https://doi.org/10.1145/3569966.3571180When dealing with garbage image classification task, with the deepening of network layer, convolutional neural network will lead to gradient disappearance / explosion and large time consumption. Therefore, a garbage image classification method combining ...
- research-articleDecember 2022
An Efficient Visual Place Recognition System by Predicting Unique Features
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 555–560https://doi.org/10.1145/3569966.3570105Visual place recognition (VPR) is the challenge of determining whether a sensor is visiting a previously recorded location or exploring new locations using visual inputs. VPR approaches typically presume that the appearance remains the same as the ...
- research-articleDecember 2022
Skin melanoma segmentation algorithm using dual-channel efficient CNN network
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 549–554https://doi.org/10.1145/3569966.3570104Except for early surgical resection, melanoma lacks special treatment, while image segmentation can effectively assist doctors to enhance the efficiency of early diagnosis of melanoma. Due to the non-uniform size, shape and color of melanoma, it is ...
- research-articleDecember 2022
Fusion of multispectral and panchromatic images via convolutional sparse representation and morphological filter
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 543–548https://doi.org/10.1145/3569966.3570103Aimed at the lack of the spectral information preservation and the spatial detail injection in fusion of multispectral (MS) and panchromatic (PAN) images, the paper proposed a pansharpening algorithm based on convolutional sparse representation (CSR) and ...
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- research-articleDecember 2022
Protein Folding Structure Prediction using Reinforcement Learning with Application to Both 2D and 3D Environments
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 534–542https://doi.org/10.1145/3569966.3570102Proteins are critical for lives. They not only build 10%-35% of our body tissues, but also can be used to understand the structures of different viruses, and then help us to explore effective vaccines. Hence, predicting new protein structures is very ...
- research-articleDecember 2022
GCN-TRN: Efficient Transformer based Electric Vehicle Charging Demand Forecasting System
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 527–533https://doi.org/10.1145/3569966.3570101Accurate traffic prediction has a wide spectrum of benefits for the society. As Electric Vehicles (EV) are being used more frequently, an accurate EV Charging Station availability forecast becomes necessary. These forecasting models can help alleviate ...
- research-articleDecember 2022
"SOS Signal" in Breathing Sound - Rapid COVID-19 Diagnosis Based on Machine Learning
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 522–526https://doi.org/10.1145/3569966.3570100Abstract—The severe acute respiratory syndrome coronavirus 2 is a novel type of coronavirus that causes COVID-19. The COVID-19 virus has recently infected more than 590 million individuals, resulting in a global pandemic. Traditional diagnosis methods ...
- research-articleDecember 2022
MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 517–521https://doi.org/10.1145/3569966.3570099Abstract—With the development of vehicles and traffic system in the early 21st century, the need for a monitored traffic system and vehicle classification is enlarging. Together with the development of deep learning, computer vision realm has emerged ...
- research-articleDecember 2022
Trends in Sunspots & Agriculture Stock Prices - Finding Correlations and Predicting Trends Using Machine Learning and Deep Neural Networks
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 506–516https://doi.org/10.1145/3569966.3570098According to previous research, sunspots and weather conditions have both direct and latent economic impacts, such as human financial activities. The goal of this project was to see if machine learning and deep neural network methods could reveal a link ...
- research-articleDecember 2022
Wildfire Detection and Perimeter Mapping using Satellite Imagery and Machine Learning with Hyperopt Tuning
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 497–505https://doi.org/10.1145/3569966.3570097In part due to climate change, the last few years have been some of the warmest on record and characterized by hot and dry weather. This led to a frequent outbreak of wildfires, especially in already dry areas such as California. Experiments were ...
- research-articleDecember 2022
Load prediction model based on LSTM and attention mechanism
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 487–491https://doi.org/10.1145/3569966.3570095load forecasting is an important research direction, which has always been the concern of academia and industry. Accurate prediction results can provide effective decisions for resource allocation of the system. However, the change of application load ...
- research-articleDecember 2022
A Mutual Element-aware Law Article Prediction Model with Label Balancing
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 456–460https://doi.org/10.1145/3569966.3570090Predicting relevant law articles for legal context is an important task in legal judgment prediction. Instead of treating law articles as plain labels, many previous works dig information from law articles with various methods to improve prediction ...
- research-articleDecember 2022
Non-destructive prediction of soluble solids content in citrus using visible near-infrared spectroscopy
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 441–444https://doi.org/10.1145/3569966.3570086The soluble solids content (SSC) of fruits is an important parameter that influences its internal quality. Visible near-infrared (Vis-NIR) spectroscopy is a effective means to detect the internal quality of fruits and vegetables. Measuring samples by ...
- research-articleDecember 2022
A travel customer segmentation method based on improved RFM and k-means++
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 436–440https://doi.org/10.1145/3569966.3570085Customer segmentation is an important approach for customer relationship management, in which many methods are achieved by the Recency, Frequency and Monetary model(RFM) and clustering techniques. However, most methods based on the Recency, Frequency ...
- research-articleDecember 2022
Research on Fault Diagnosis Method for Reactor Primary Circuit System Based on multi-source information fusion
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 402–408https://doi.org/10.1145/3569966.3570079Reactor primary circuit system is a complex dynamic system, variable parameter coupling, operation safety problems are prominent. In order to reduce the risk, a multi-source information fusion diagnosis system based on signed directed graph (SDG) and ...
- research-articleDecember 2022
A light and efficient attention model for 3D shape part-segmentation
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 287–292https://doi.org/10.1145/3569966.3570055Part segmentation is one of the important tasks in 3D shape analysis. Prior works mostly rely on complex local modeling to learn features directly from raw mesh or point cloud. We proposed a simple, fast and robust approach for 3D shape part ...
- research-articleDecember 2022
Research on Strawberry Positioning Technology including Maturity Classification
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 253–260https://doi.org/10.1145/3569966.3570050In the development of agricultural picking equipment, the identification and positioning of the target fruit is one of the key technologies. There are three sequence steps: finding the target fruit, determining whether the target fruit is mature and ...
- research-articleDecember 2022
An Image Enhancement Filtering Algorithm for Speckle Patterns
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 229–231https://doi.org/10.1145/3569966.3570043Noise reduction is one of the most exciting problems in speckle pattern. We present an Image Enhancement Filtering Algorithm on experimental speckle correlation fringes and speckle image of cone respectively. In the algorithm, adaptively automatic ...